Technical Solution Architect

CiklumAI, payments

Source API remote eligibility restrictions: PolandFull-Time

Salary not disclosed

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Job Details

Have strong experience designing end-to-end enterprise solutions, including integrations, APIs, authentication, data flows, and cloud infrastructure.
Have hands-on experience with Azure Functions, App Services, Storage, Key Vault, Entra ID, networking, and identity management.
Have practical experience building LLM-powered applications, AI agents, tool calling, RAG, and multi-step workflows.
Have experience with AI-assisted development tools such as Cursor, GitHub Copilot, or Claude Code.
Have a strong development background in Python, C#, or TypeScript and experience building production-ready applications.
Have experience connecting enterprise systems using REST APIs, MCP, webhooks, and workflow automation.
Be able to turn ambiguous business requirements into prototypes, validate assumptions, and iterate based on feedback.
Understand enterprise security, RBAC, managed identities, secrets management, and secure AI solution design.
Be able to drive technical initiatives independently from discovery through implementation and deployment.
Have strong English communication skills and be comfortable working directly with business stakeholders.
Have experience with Azure AI Foundry, Azure AI Search, Azure OpenAI, Microsoft Copilot Studio, and Microsoft Graph API.

Design end-to-end AI-powered solutions, including architecture, technology choices, integrations, and deployment approaches.
Build prototypes, AI agents, automations, and production-ready solutions using modern AI technologies.
Design AI-assisted development workflows, reusable agent skills, engineering standards, and automation frameworks.
Design, deploy, and optimize Azure infrastructure for AI applications.
Transform business ideas into prototypes, validate assumptions, and iterate based on feedback.
Connect AI solutions with enterprise platforms, internal APIs, databases, and business systems.
Work with business stakeholders to understand challenges and translate requirements into technical solutions.
Establish reusable architecture patterns, security guardrails, and engineering best practices.
Research emerging AI technologies and evaluate tools for engineering and business processes.
Mentor engineers, document reusable solutions, and coordinate across teams to support delivery.

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